Articles tagged with Social Media
A University of Missouri study found that consumers are more likely to use virtual apparel try-on software if it is interactive and easy to use. The research suggests that making the technology versatile can reduce privacy concerns, with qualities like interactivity having a direct impact on users' willingness to shop virtually.
A team of researchers created a deep learning system capable of detecting natural disasters using images from Twitter and Flickr. The system, trained on over 1.7 million photographs, was able to accurately identify incidents such as floods, tornadoes, and forest fires.
A new study reveals a consistent difference in favorability ratings between gene editing and genetically modified organisms (GMOs) in social and traditional media. Gene editing consistently receives higher favorability ratings, with close to 100% achieved in numerous monthly values, indicating a positive shift in public sentiment.
Researchers developed a validated test to measure misinformation susceptibility, finding younger adults and those spending more time online are worse at identifying false headlines. The study used AI-generated fake headlines and found that social media and political affiliation were significant factors in susceptibility.
A new study analyzing 57 million Facebook posts found that the amount of controversy generated by a post is strongly linked to its speed of spread. The study suggests that posts reaching a wide audience quickly are more likely to be associated with negative or controversial reactions, regardless of topic.
A team of UConn researchers finds that misinformation about abortion has proliferated on social media, including false claims about fetal pain and maternal health. The study warns that this infodemic could exacerbate a public health crisis and restrict access to accurate information.
A new study by Boston University School of Public Health found that women who turned 35 in recent years and those without children are most at risk of excessive alcohol consumption. The study's findings highlight the need to address unhealthy drinking habits among middle-aged women, particularly those without children.
A meta-analysis of 60,000 participants found that corrections are more successful when issues are emotionally positive, match ideology, and provide abundant details. However, polarized misinformation proves harder to correct, with corrections failing twice as often.
Researchers ran survey experiments to assess the effectiveness of microtargeting in politics, finding that targeted ads can be 70% more persuasive than general campaigns. However, using multiple attributes for targeting did not add further benefit, suggesting a 'one ad does not fit all' approach.
A new study published in Journal of Marketing finds that consumers become motivated to distance themselves from brands after observing socially unacceptable social media mentions. Consumers with stronger self-brand connections experience vicarious shame, driving their desire to disengage from the brand.
Many physicians and scientists reported being harassed on social media due to their advocacy, often based on gender, race, or disability. The study highlights the need for greater protection and support for individuals facing online abuse.
Researchers at Iowa State University found that limiting social media usage to 30 minutes a day significantly improved mental health outcomes, including lower anxiety, depression, and loneliness scores. Participants who exceeded the time limit still showed improvement, highlighting the importance of self-limiting behavior.
Researchers found that similarity with a potential friend, the properties of a potential friend's network, and the potential friend's domain expertise are key drivers behind individuals' online friendship decisions. Having common interests and demographic traits improves the odds of two strangers becoming friends in an online community.
A new study from Washington University in St. Louis offers a fine-grained scale to understand how people use social media, revealing four categories: belief-based, consumption-based, image-based and comparison-based. Each category is associated with unique personality traits and behavioral characteristics.
A new experimental study suggests that adding 'trust' and 'distrust' buttons to social media platforms could significantly reduce the spread of misinformation. Incentivizing accuracy led to a large reduction in the amount of false posts being shared, with users more likely to share true information to gain trust reactions.
A recent study published in Flora used social media images of cherry blossoms to track climate patterns and identify subtle off-season blooms. The researchers analyzed 10 years of data from Flickr and compared it with official records of cherry flowering times in Japan, finding a detailed seasonal pattern of blooming across the country.
A recent study found that adolescents across various ages, genders, and geographies are aware of and concerned about the potential impacts of abortion restrictions. The study, led by Dr. Bianca A. Allison, used a nationwide text message poll to gather responses from over 800 adolescents between 14-24 years old.
A study analyzed tweets from nearly 500 emergency medicine physicians, finding a significant increase in expressions of loneliness, anger, and anxiety during the pandemic. Positive themes took a dive, while negative emotions dominated, with loneliness increasing by up to 17% compared to pre-pandemic years.
University students' tweets showed a positive correlation between social events and hobbies with subjective well-being, while politics had a negative effect. Negative expressions also increased during the pandemic, negatively impacting students' desire for self-presentation and overall well-being.
A recent study found that young people engaging in online anti-social behavior do so for recreation, reward, and to seek social approval. The researchers also discovered that those who exhibit such behavior tend to have lower cognitive empathy scores.
A national study published in Sleep Health found that screen habits linked to better sleep include keeping devices out of the bedroom and avoiding screens before bedtime. The study analyzed data from 10,280 preteens aged 10-14 and found that 15.5% reported trouble falling or staying asleep in the past two weeks.
The Vaccine Adverse Event Reporting System (VAERS) collects reports of adverse events after vaccination, but public confusion about its nature and reports has increased. A new report recommends renaming the system to a clearer alternative and making additional changes to reduce misinterpretation.
A collaborative study by Rutgers University found that Google Search results do not differ significantly in ideological content for Democrats and Republicans. However, the amount of partisan and unreliable news users engage with varies depending on their personal political outlook. Researchers used a custom-built browser extension to t...
Researchers from Aarhus University conducted an online experiment showing that repeated exposure to food images can induce satiety, reducing the desire for more. The study found that participants who viewed pictures of orange M&M's 30 times chose a smaller portion than those who only saw them three times.
A recent study analyzed over half a million tweets from 2017 to 2022, finding that social media plays a crucial role in corporate social responsibility (CSR) efforts. The study identified key topics, including sustainability, climate change, and waste management, as well as areas of growth and decline in CSR communication.
A Curtin University research found that 98% of TikTok videos promoting vaping pose a risk to teens. The study highlights the need for stricter regulations and enforcement on social media platforms.
A recent study found that a vast majority of tweets about obesity are negative, with only 8.25% containing positive sentiments. The analysis suggests that Twitter activity spiked around significant political events, including comments from influential politicians and celebrities.
Researchers found that machine-learning models trained with descriptive data label rule violations more harshly than humans, leading to potential serious implications in the real world. This study highlights the need for careful consideration of data labeling and training methods to ensure fairness and accuracy in AI decision-making.
A recent study investigated social media posts of emergency medicine physicians during the COVID-19 pandemic, revealing key thematic shifts in language related to anxiety, anger, depression, and loneliness. Social media was found to provide a real-time landscape for evaluating emotional well-being among healthcare workers.
A study presented at Digestive Disease Week found that nearly 40% of TikTok posts about liver disease contain false or misleading information. Inaccurate claims often push fad diets, detox drinks, and herbal remedies as cures, with little engagement compared to accurate posts.
Researchers found that telepresence drives addictive behavior on both platforms, with 28% of Instagram users and 24% of TikTok users qualifying as addicted. Immersion in social media experience displaces meaningful relationships, which can be detrimental to well-being.
A growing number of parents are managing their children as paid social media influencers, raising concerns about child exploitation and commodification. The rise of kidfluencers has led to new frameworks and potential legislation being called for in this largely unregulated environment.
Emotion dysregulation and fear of missing out (FoMO) contribute to problematic smartphone use among young people. Difficulty in controlling impulses and emotional clarity increase FoMO levels.
Researchers from Nemours Children's Health present findings on pediatric mental health, HPV vaccination strategies, primary hypertension in youth, and the effects of social media on pediatric care. The studies aim to improve child well-being and provide innovative approaches to addressing pressing topics.
A study comparing physician and AI chatbot responses found chatbots excelled in both quality and empathy, while physicians were preferred for their nuanced understanding. The findings suggest that integrating chatbots into clinical settings could improve response quality and reduce clinician burnout.
A recent study by Sara Valentini and colleagues at Bocconi University found that consistency between online content and the values associated with a brand increases rebroadcasting frequency. Posts containing price promotions also perform well when aligned with the brand's identity, with followers being 109% more likely to share them.
A study by Drexel University and Vanderbilt University analyzed 82 relevant conversations on Instagram direct messages where teens asked for help, revealing that most disclosures were about mental health concerns. Support was offered in most cases, but specific sets of circumstances led to denial.
Researchers found that people dislike fitness recommendations from apps using social media data, instead favoring personalized approaches with control options. Users prefer systems allowing them to choose between different recommendation methods, making them feel more in control.
Researchers at the University of South Australia analyzed Instagram fitspiration accounts, finding nearly two-thirds published dubious fitness information. Hyper-sexualized content, objectification, or nudity was present in around a quarter of accounts, promoting unhealthy body shapes and driving body image issues.
Researchers trained a machine learning program using data from over 5 million direct messages, annotated by 150 adolescents who experienced uncomfortable or unsafe conversations. The technology can quickly flag risky DMs and is intended to address rising trends of child sexual exploitation.
A new study uses social media data to understand global air conditioning adoption patterns. It finds that middle-aged, educated males and parents of small children tend to express higher online interest in AC. This research aims to improve climate change adaptation measures by identifying sociodemographic groups at risk.
New research using social media advertising data provides insights into the adoption of air conditioning units worldwide, particularly in heat-vulnerable regions. The study found that middle-aged, highly educated, married males, and parents with small children are more likely to express online interest in AC units.
A machine learning program can spot risky conversations on Instagram by analyzing metadata clues, such as conversation length and participant engagement. The system was 87% accurate in identifying risky chats using sparse and anonymous details from over 17,000 private chats.
A new Twitter analysis reveals that medical dramas like New Amsterdam, Chicago Med, and Grey's Anatomy influenced hundreds of people's thoughts on vaping dangers. The study found that nearly half the tweets commented on the realism of the storylines, with some even expressing intention to quit vaping.
A UC Davis study analyzed millions of Twitter posts to find that social media can both amplify and disrupt individual issues, leading to both unifying and divisive outcomes. The research highlights the complex nature of social media's impact on public discourse, revealing an oscillation between integrated and segregated communication.
Researchers found that employing social media posts as visual nudges to encourage safe behaviors significantly impacted COVID-19 positivity rates. Images communicating the value of wearing masks made a real difference, with effects remaining even after accounting for various organizational characteristics and disease dynamics.
Researchers at the University of São Paulo used artificial intelligence and Twitter to develop a database and models that can detect depression and anxiety before clinical diagnosis. The study found that BERT performed best in predicting depression and anxiety, with a statistically significant difference from LogReg.
A new study found that a handful of key Twitter influencers effectively countered vaccine misinformation and promoted accurate information about vaccines. Social media influencers can use their social capital to challenge the spread of conspiracy theories.
A team at the University of Pittsburgh has created a framework to analyze the influence of online conspiratorial content on individuals and communities. The project aims to identify sociodemographic and psychometric factors that contribute to the spread of such messages.
Researchers from George Mason University found that anti-tobacco campaigns on Facebook discussing the risks of second-hand smoking to pets received the most user engagement. The studies analyzed factors influencing effective antismoking campaigns and user interaction.
Cornell University researchers found that teens' trust in COVID-19 news on social media is key to their well-being. Higher levels of trust are linked to a positive sense of social well-being and lower levels can lead to stress. News literacy programs are crucial for young people to discern fact-based sources from misinformation.
A new study found that LGB preteens ages 10-14 reported 10.4 hours of daily recreational screen time, which was nearly four hours more than their straight peers. The researchers argue that parents should regularly talk to their children about screen usage and develop a family media use plan.
A Washington State University-led analysis found that fake news consumption on Facebook was the primary driver of doubt about the election's integrity. Individuals who got election news through mainstream websites were less likely to consume fake news and more likely to believe in the results.
Researchers debunk rock'n'roll myth, finding narcotics have no effect on inspiration. Instead, complex training programs, meditation, and cultural exposure boost creativity. Training that highlights mental techniques has long-term impacts, while mindfulness activities like meditation also improve imagination in the short term.
Researchers found that healthier foods require more photographic staging to gain popularity, but using warm colors, repetition, and clean backgrounds can increase audience engagement. This study aims to help health communication and practitioners create visually appealing content that garners higher social media engagement.
A new study found that repeated requests for personal data increase disclosure, despite unchanged concerns about privacy. Researchers suggest practical measures to reduce this effect and encourage mutually beneficial sharing.
New research highlights the need for extra support from professionals like teachers, youth workers, and speech therapists for children with disabilities when using the internet. The study found that these professionals often fail to provide adequate guidance on managing online risks, exacerbating existing digital inequalities.
A scoping review of 50 studies across 17 countries found a strong association between social media usage and body image concerns, poor mental health, and disordered eating. The study suggests that excessive social media use can have negative effects on young people's self-esteem and overall well-being.
Research by Rensselaer Polytechnic Institute found a decrease in fake and extremely biased Twitter content between 2016-2020, but top influencers became more polarized, creating an echo chamber effect. The study analyzed vast amounts of Twitter data to examine the social media platform's influence on U.S. politics.
Researchers found that people who ranked high in JOMO also reported high levels of social anxiety, but with mixed results on the nature of JOMO. High JOMO scorers were more likely to report moderate feelings of loneliness despite not being socially anxious.